Anaptysbio (ANAB) Operating Expenses (2016 - 2026)
Anaptysbio (ANAB) posted Operating Expenses of $60.19 million for Q1 2026, up 8.8% from $55.31 million a year earlier and up 45.6% from the prior quarter.
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Analysis
Anaptysbio (ANAB) Operating Expenses (2016 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Operating Expenses at Anaptysbio was $191.59 million, down 9.7% year-over-year; for FY2025, it was $186.71 million, down 9.5% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 13.6% (FY2020 to FY2025).
- In prior years, Anaptysbio's Operating Expenses was $206.23 million in FY2024 (+13.6%), $181.57 million in FY2023 (+44.7%), $125.44 million in FY2022 (+4.5%) and $119.99 million in FY2021 (+21.3%).
- The Q1 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q1 2016.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 2.7%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2023, with growth of 56.0%; the weakest was Q4 2025, with a decline of 21.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $41.35 million (Q4 2025), $41.62 million (Q3 2025) and $48.43 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Anaptysbio | 1.47 Bn | 362.02 Mn | - | 60.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 60.19 Mn |
| Dec 31, 2025 | 41.35 Mn |
| Sep 30, 2025 | 41.62 Mn |
| Jun 30, 2025 | 48.43 Mn |
| Mar 31, 2025 | 55.31 Mn |
| Dec 31, 2024 | 52.78 Mn |
| Sep 30, 2024 | 52.77 Mn |
| Jun 30, 2024 | 51.29 Mn |
| Mar 31, 2024 | 49.38 Mn |
| Dec 31, 2023 | 51.14 Mn |
| Sep 30, 2023 | 41.05 Mn |
| Jun 30, 2023 | 43.60 Mn |
| Mar 31, 2023 | 45.78 Mn |
| Dec 31, 2022 | 32.78 Mn |
| Sep 30, 2022 | 30.93 Mn |
| Jun 30, 2022 | 29.02 Mn |
| Mar 31, 2022 | 32.72 Mn |
| Dec 31, 2021 | 32.17 Mn |
| Sep 30, 2021 | 27.65 Mn |
| Jun 30, 2021 | 30.56 Mn |
API Access
Anaptysbio Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=ANAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ANAB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ANAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();